Distribution Networks with Transshipment as an Element of Business Resilience: A Systematic Review

被引:0
作者
Muyulema-Allaica, Juan-Carlos [1 ]
Rodriguez-Balon, Jean-Carlos [1 ]
机构
[1] Univ Estatal Peninsula Santa Elena, La Libertad, Ecuador
来源
REVISTA CIENTIFICA | 2023年 / 47卷 / 02期
关键词
capacity; distribution networks; logistics; resilience; systematic review; transshipment; PRODUCTS; MODEL;
D O I
10.14483/23448350.20430
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Distribution networks with transshipment are an important factor for moving of products and inputs, promoting and improving the reduction of transportation costs regarding distribution problems. This paper focuses on answering the following question based on a systematic literature review (SLR): How do transshipment distribution networks influence the reduction of transportation costs in resilient companies? A review and an estimation of preliminary re-search was carried out for a period of five years, operating the search engines of SciencieDirect, Redalyc, Dialnet, Scielo, and SpringerLink. The studies were selected based on a set of inclusion and exclusion criteria. It was highli-ghted that distribution networks with transshipment have a direct relationship with companies and aim for their we-ll-being. On the other hand, the importance and theoretical bases of distribution networks were observed. The SLR collected clear and precise data for the study, which contributed to the understanding of the direct relationship be-tween distribution networks and companies. The importance of logistics with transshipment in business resilience was established, which includes three basic aspects (recovery, vulnerability, and adaptation) with respect to the con-ditions of distribution as a contribution to sustainable development.
引用
收藏
页码:39 / 54
页数:16
相关论文
共 52 条
  • [1] A simulation model for the management for containers internal transport in a seaport
    Arango-Pastrana, Carlos Alberto
    [J]. CUADERNOS DE ADMINISTRACION-UNIVERSIDAD DEL VALLE, 2019, 35 (64): : 96 - 109
  • [2] Ardianto M. A. D., 2022, PROCEDIA COMPUTER SC, V197, P461, DOI [10.1016/J.PROCS.2021.12.162, DOI 10.1016/J.PROCS.2021.12.162]
  • [3] Boskabadi A., 2022, Sustain Oper Comput, V3, P226, DOI DOI 10.1016/J.SUSOC.2022.01.005
  • [4] Cajamarca Cajamarca Edisson Santiago, 2022, Cienc. adm., P8, DOI 10.24215/23143738e106
  • [5] Castagnola Sanchez C. G., 2021, PROPOS REPRESENT, V9, P1044, DOI [10.20511/pyr2021.v9n1.1044, DOI 10.20511/PYR2021.V9N1.1044]
  • [6] A location-inventory supply chain network model using two heuristic algorithms for perishable products with fuzzy constraints
    Dai, Zhuo
    Aqlan, Faisal
    Zheng, Xiaoting
    Gao, Kuo
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2018, 119 : 338 - 352
  • [7] Demuner-Flores María del Rosario, 2022, Investig. adm., V51, P00001, DOI 10.35426/iav51n130.01
  • [8] Psychological resilience: an update on definitions, a critical appraisal, and research recommendations
    Denckla, Christy A.
    Cicchetti, Dante
    Kubzansky, Laura D.
    Seedat, Soraya
    Teicher, Martin H.
    Williams, David R.
    Koenen, Karestan C.
    [J]. EUROPEAN JOURNAL OF PSYCHOTRAUMATOLOGY, 2020, 11 (01)
  • [9] Ekhuemelo N., 2019, SUSTAINABILITY AGR F, V7, P69, DOI [10.7770/safer-v0n0-art1557, DOI 10.7770/SAFER-V0N0-ART1557]
  • [10] Enciso-Caicedo M. A., 2018, REV POLITEC, V14, P45, DOI [10.33571/rpolitec.v14n27a5, DOI 10.33571/RPOLITEC.V14N27A5]